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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. 10-RES-JB
    11. 24557
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    Explanations

    phrases indicating involvement or participation in various activities or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of people or entities being involved in various contexts or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xious
    -0.64
    opers
    -0.61
    vironment
    -0.61
    edom
    -0.60
    omach
    -0.60
    TI
    -0.59
    toggle
    -0.59
    ãĥ¼ãĥĨãĤ£
    -0.59
    reens
    -0.58
    odo
    -0.58
    POSITIVE LOGITS
     in
    0.84
     therein
    0.80
     with
    0.78
    ioned
    0.72
     milit
    0.70
     involved
    0.68
     actively
    0.68
    olved
    0.67
    enza
    0.65
    cius
    0.63
    Activations Density 0.046%

    No Known Activations