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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. 7-RES-JB
    11. 5040
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    Explanations

    phrases indicating back-and-forth movement or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating repetitive back-and-forth actions or exchanges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azo
    -0.72
    =-=-=-=-=-=-=-=-
    -0.63
    wan
    -0.63
     Forces
    -0.62
     Hayward
    -0.61
     Glover
    -0.61
    illard
    -0.60
     crow
    -0.60
     Jennings
    -0.58
    tackle
    -0.58
    POSITIVE LOGITS
    forth
    0.96
    right
    0.93
    inant
    0.87
    comings
    0.86
    urst
    0.81
    inately
    0.80
    ministic
    0.78
    ensical
    0.78
    upon
    0.77
    entimes
    0.75
    Activations Density 0.026%

    No Known Activations