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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. 6-RES-JB
    11. 12042
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    Explanations

    numbers, likely connected to statistical information or figures

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character '³' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neg
    -0.72
    aido
    -0.71
    okin
    -0.70
    itton
    -0.69
    yrim
    -0.69
    istically
    -0.69
    ority
    -0.68
    ancial
    -0.66
    acters
    -0.66
    lear
    -0.65
    POSITIVE LOGITS
    enance
    0.77
    IBLE
    0.75
    Marie
    0.70
    xual
    0.69
    ibility
    0.68
    tics
    0.67
    enced
    0.67
    cart
    0.67
    tions
    0.66
     Sheen
    0.65
    Activations Density 0.066%

    No Known Activations