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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. 1487
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    INDEX
    Explanations

    statements where a case is being made or argued for

    oai_token-act-pair · gpt-3.5-turbo

    arguments or claims being made

    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
     Seym
    -0.80
    ummer
    -0.72
    attery
    -0.69
    onder
    -0.69
    elta
    -0.65
    semb
    -0.64
    kered
    -0.62
    umber
    -0.62
    ombs
    -0.61
     Pixie
    -0.61
    POSITIVE LOGITS
     against
    0.82
    cases
    0.80
    Against
    0.79
     convinc
    0.78
    case
    0.73
     why
    0.72
     persuasive
    0.72
     compelling
    0.71
     convincing
    0.70
    .","
    0.70
    Activations Density 0.032%

    No Known Activations