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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. 8-RES-JB
    11. 24454
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    INDEX
    Explanations

    words related to locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    words or parts of words related to actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Batt
    -0.81
    OSP
    -0.81
     Lad
    -0.78
     Lake
    -0.78
    ARM
    -0.75
    833
    -0.73
     Marqu
    -0.72
     Boat
    -0.71
     ro
    -0.71
    osp
    -0.70
    POSITIVE LOGITS
    sung
    0.96
    sels
    0.87
     Secondly
    0.87
    ges
    0.85
    hent
    0.81
    enthal
    0.80
    bryce
    0.80
    ental
    0.79
    nes
    0.79
    ge
    0.79
    Activations Density 0.397%

    No Known Activations