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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. 11-RES-JB
    11. 11929
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    Explanations

    words related to actions that are likely to happen after a certain event or situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of actions or events that are likely to follow or occur in a sequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¦ãĤ¹
    -0.83
    ahon
    -0.80
    ciplinary
    -0.77
    ascript
    -0.73
    ikes
    -0.72
    ãĥł
    -0.70
    ãĥĻ
    -0.67
    lance
    -0.67
    sels
    -0.66
    ãĥ£
    -0.65
    POSITIVE LOGITS
     him
    1.20
     us
    1.15
     them
    1.02
     me
    0.87
    .
    0.86
     Us
    0.82
     Him
    0.80
     shortly
    0.76
    .]
    0.75
    him
    0.73
    Activations Density 0.443%

    No Known Activations