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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. 11042
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    Explanations

    words related to various aspects of nature such as soil, trees, shrubs, and samples

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to texture and consistency

    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
    anooga
    -0.68
    rosso
    -0.67
    insula
    -0.66
    OTOS
    -0.65
    ACA
    -0.64
    dinand
    -0.61
    İĭ
    -0.60
    riched
    -0.60
    querque
    -0.60
     dyn
    -0.60
    POSITIVE LOGITS
    gery
    0.83
    ishly
    0.80
     empt
    0.74
    butt
    0.74
    ware
    0.73
    lings
    0.73
    enance
    0.71
    brush
    0.69
    punk
    0.69
    bery
    0.67
    Activations Density 0.227%

    No Known Activations