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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. 884
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    Explanations

    mentions of specific locations, dates, and names of people or companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of people and their associated Twitter handles or usernames

    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
    alach
    -0.65
    ARDS
    -0.60
    avorite
    -0.58
    represented
    -0.57
    Dest
    -0.55
     measurable
    -0.55
     Rite
    -0.55
    Super
    -0.54
    LR
    -0.53
    cel
    -0.53
    POSITIVE LOGITS
    naire
    0.64
    )=(
    0.64
    Dialogue
    0.64
    itual
    0.63
    umbn
    0.63
    alities
    0.63
     aloud
    0.62
    enzie
    0.62
    mberg
    0.61
     rhet
    0.60
    Activations Density 0.150%

    No Known Activations