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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 1006
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    INDEX
    Explanations

    details related to comparisons such as pros and cons, strengths and weaknesses, and differing perspectives

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to explanations, complexities, and varying perspectives on issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     escort
    -0.71
     unprotected
    -0.70
     assisted
    -0.69
     Protector
    -0.69
     housed
    -0.68
     cooled
    -0.66
     ecstasy
    -0.66
     suspended
    -0.66
    ĸļ
    -0.64
     Alive
    -0.64
    POSITIVE LOGITS
    ibilities
    1.34
    ptoms
    1.29
    requisites
    1.26
    isms
    1.26
    acies
    1.20
    ivities
    1.19
    abilities
    1.18
    itudes
    1.18
    encies
    1.15
    notations
    1.14
    Activations Density 0.325%

    No Known Activations