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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. 9-RES-JB
    11. 1955
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    Explanations

    words related to technology and information technology such as "Seeking" and "System"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character sequence "Se" or representations of specific objects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INGTON
    -0.68
     diplom
    -0.67
    lessly
    -0.67
     owl
    -0.66
     CPC
    -0.65
     AFL
    -0.64
     hoops
    -0.64
     scales
    -0.62
    etheless
    -0.62
     easing
    -0.62
    POSITIVE LOGITS
    ldom
    1.36
    gments
    1.31
    vere
    1.29
    eker
    1.27
    infeld
    1.23
    gment
    1.20
    gregation
    1.19
    vered
    1.17
    greg
    1.16
    xton
    1.14
    Activations Density 0.026%

    No Known Activations