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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. 17158
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    bracketed text or references in a document

    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
    imore
    -0.76
    nesday
    -0.75
    wagen
    -0.74
    ores
    -0.74
     upl
    -0.71
     imb
    -0.70
     comprom
    -0.68
     clad
    -0.68
     redu
    -0.68
     synthetic
    -0.67
    POSITIVE LOGITS
    ?]
    1.26
    !]
    1.18
    Laughs
    1.16
    Pg
    1.07
    âĢ¦]
    1.06
    Footnote
    1.06
    laughs
    1.04
    ](
    1.04
    ...]
    1.03
    emphasis
    1.02
    Activations Density 0.025%

    No Known Activations