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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5577
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    Explanations

    dialogue or direct speech with quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    direct quotations or speech within the text

    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
    avorite
    -0.77
     triv
    -0.65
     penal
    -0.65
     guest
    -0.65
     notoriously
    -0.64
     weakened
    -0.63
     foreground
    -0.63
     affected
    -0.63
     prone
    -0.62
    âĹ¼
    -0.62
    POSITIVE LOGITS
    Oh
    0.93
    Hey
    0.92
    cow
    0.91
    Jesus
    0.91
    hey
    0.90
    I
    0.89
    nothing
    0.83
    Nothing
    0.81
    Fuck
    0.81
    Bring
    0.80
    Activations Density 0.086%

    No Known Activations