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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. 7160
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    Explanations

    references to a specific entity named "Snopes"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the "Sn" prefix in various contexts

    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
    xual
    -0.67
     Britann
    -0.66
     [|
    -0.62
    heid
    -0.62
    tered
    -0.62
    stretched
    -0.62
     Against
    -0.61
    TAIN
    -0.61
    ded
    -0.60
     secrecy
    -0.59
    POSITIVE LOGITS
    ipers
    1.29
    akes
    1.28
    ipes
    1.27
    opes
    1.25
    apping
    1.22
    uggle
    1.22
    appy
    1.21
    acks
    1.18
    ook
    1.16
    iff
    1.16
    Activations Density 0.013%

    No Known Activations