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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. 9-RES-JB
    11. 3563
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    INDEX
    Explanations

    mentions of statistics or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    references to socio-economic conditions and comparisons within society

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     teasp
    -0.71
    åĩ
    -0.62
    illet
    -0.59
    ©¶æ
    -0.59
     pione
    -0.58
    Þ
    -0.57
    uthor
    -0.57
    ĺħ
    -0.55
     Inqu
    -0.55
     unbeliev
    -0.54
    POSITIVE LOGITS
    than
    1.93
     than
    1.92
     compared
    1.33
     Than
    1.27
     versus
    0.95
     relative
    0.88
     whereas
    0.73
    higher
    0.72
     secondly
    0.72
    relative
    0.70
    Activations Density 0.576%

    No Known Activations