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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. 4-RES-JB
    11. 9221
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    Explanations

    phrases indicating involvement in specific activities or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating involvement or participation in actions or events

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

    No Comments

    Negative Logits
    ratulations
    -0.74
    Reviewed
    -0.69
    rers
    -0.67
    notations
    -0.67
    Rain
    -0.66
    uce
    -0.65
    ector
    -0.65
     entrants
    -0.63
     emerges
    -0.63
    edu
    -0.63
    POSITIVE LOGITS
    ordinate
    0.89
     coordinating
    0.75
     superv
    0.68
     overseeing
    0.67
     Scouting
    0.65
    ä¸ī
    0.65
    acas
    0.65
     interstate
    0.64
     developing
    0.64
     negotiations
    0.63
    Activations Density 0.079%

    No Known Activations