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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. 2-RES-JB
    11. 15577
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    Explanations

    numbers related to historical years or quantitative data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and specific years, particularly 1998 and 68

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivity
    -0.92
    ional
    -0.88
    mire
    -0.82
    ique
    -0.80
    cil
    -0.76
    iques
    -0.76
    rophe
    -0.75
    ivities
    -0.74
    icked
    -0.72
    itivity
    -0.72
    POSITIVE LOGITS
     externalToEVAOnly
    0.99
    mph
    0.93
    765
    0.83
    98
    0.82
    989
    0.82
    794
    0.82
    58
    0.78
    987
    0.78
    68
    0.77
    LECT
    0.77
    Activations Density 0.063%

    No Known Activations