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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. 9-RES-JB
    11. 14116
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    Explanations

    descriptive words related to physical sensations, movements, and emotions

    oai_token-act-pair · gpt-3.5-turbo

    words related to various textures or states of food and physical sensations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inem
    -0.73
    nect
    -0.68
    OSP
    -0.63
    rica
    -0.61
    abuse
    -0.58
    rators
    -0.58
    ĻĤ
    -0.57
    ŀ
    -0.57
     Lima
    -0.56
    acio
    -0.55
    POSITIVE LOGITS
    puff
    1.04
    buck
    0.98
    berry
    0.96
    weed
    0.93
    bug
    0.89
    butt
    0.88
    yg
    0.83
    jee
    0.82
    clips
    0.82
    bles
    0.82
    Activations Density 0.218%

    No Known Activations