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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. 7-RES-JB
    11. 3926
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    INDEX
    Explanations

    phrases related to specific locations or abstract concepts regulated to a certain state or condition

    oai_token-act-pair · gpt-3.5-turbo

    references to certain topics or elements frequently mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rex
    -0.85
    quit
    -0.76
    ère
    -0.75
    ypes
    -0.72
    nesty
    -0.72
    gart
    -0.70
    cht
    -0.70
    tle
    -0.70
    inline
    -0.70
    APH
    -0.69
    POSITIVE LOGITS
     equation
    1.06
     vicinity
    1.03
     midst
    1.02
     universe
    0.98
     cosmos
    0.93
     psyche
    0.92
     heavens
    0.90
     realm
    0.90
     workings
    0.88
     trenches
    0.85
    Activations Density 0.412%

    No Known Activations