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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. 4-RES-JB
    11. 11336
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or significant names

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

    No Comments

    Negative Logits
     bottleneck
    -0.72
    EStream
    -0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.67
     Enlightenment
    -0.65
     laying
    -0.65
     Cerberus
    -0.65
     fame
    -0.64
     1600
    -0.63
     Founders
    -0.63
     DPR
    -0.61
    POSITIVE LOGITS
    resa
    1.04
    aron
    0.91
    ris
    0.89
    ounding
    0.86
    ever
    0.86
    ail
    0.84
    olly
    0.83
    anc
    0.83
    arm
    0.83
    alle
    0.83
    Activations Density 0.229%

    No Known Activations