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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. 14123
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    Explanations

    numbers related to quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to specific clauses or phrases in a detailed context

    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
    Tes
    -0.80
     Ll
    -0.67
    Calling
    -0.67
    athi
    -0.64
     BET
    -0.64
    CLOSE
    -0.63
    politics
    -0.62
    rounder
    -0.62
    pa
    -0.61
    ln
    -0.60
    POSITIVE LOGITS
     hereafter
    0.72
    xual
    0.72
     derives
    0.70
     incidentally
    0.67
     consists
    0.66
    soever
    0.66
    ocom
    0.62
    orescence
    0.62
     doubtless
    0.62
     admittedly
    0.61
    Activations Density 0.021%

    No Known Activations