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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. 6-RES-JB
    11. 4078
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or criticisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chero
    -0.73
     Shooter
    -0.69
     Dickinson
    -0.69
     Bol
    -0.67
     Sparrow
    -0.66
     Cannon
    -0.64
     Blu
    -0.62
     Reloaded
    -0.62
    ãģ®å®
    -0.61
     Moj
    -0.61
    POSITIVE LOGITS
    advertising
    0.98
    =-=-=-=-=-=-=-=-
    0.98
    reply
    0.90
    minded
    0.89
    morrow
    0.89
    profits
    0.86
    sized
    0.86
    mentioned
    0.86
    scale
    0.85
    yet
    0.85
    Activations Density 0.064%

    No Known Activations