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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. 1-RES-JB
    11. 11434
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    Explanations

    verbs related to specific actions or events that have occurred

    oai_token-act-pair · gpt-3.5-turbo

    actions or events related to participation and testimony

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venge
    -0.47
    etheless
    -0.44
    aging
    -0.42
    NetMessage
    -0.42
    cel
    -0.40
    arel
    -0.39
     skelet
    -0.38
     gobl
    -0.38
    Trade
    -0.38
    yet
    -0.38
    POSITIVE LOGITS
    ĸļ
    0.53
    hower
    0.48
     lasts
    0.45
    ividual
    0.45
    raints
    0.44
    okane
    0.41
    uart
    0.41
    ãĤ¤ãĥĪ
    0.40
    代
    0.40
    nesday
    0.39
    Activations Density 1.913%

    No Known Activations