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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. 2816
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    INDEX
    Explanations

    the total quantity or sum of something mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to totals and statistics

    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
    grim
    -0.68
    rossover
    -0.66
    minster
    -0.65
    thur
    -0.64
    Kind
    -0.64
    iously
    -0.64
    Laughs
    -0.63
    Widget
    -0.62
    mor
    -0.62
     eternity
    -0.61
    POSITIVE LOGITS
     however
    1.35
     according
    0.96
     though
    0.94
     moreover
    0.94
     meanwhile
    0.93
     although
    0.82
     therefore
    0.79
     there
    0.76
     they
    0.75
    upon
    0.73
    Activations Density 0.333%

    No Known Activations