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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. 4-RES-JB
    11. 1638
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    Explanations

    expressions indicating emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to quantity or number

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

    No Comments

    Negative Logits
     SPD
    -0.68
     Hamm
    -0.66
    CVE
    -0.65
     Rusty
    -0.63
    gow
    -0.61
     Bundes
    -0.61
     Installation
    -0.60
     Gustav
    -0.59
     Zur
    -0.59
     ALS
    -0.58
    POSITIVE LOGITS
     whatsoever
    1.07
    astical
    0.89
     imaginable
    0.85
    ricular
    0.77
    ĵĺ
    0.75
    THING
    0.73
     conceivable
    0.71
    else
    0.70
    oots
    0.69
    ramer
    0.68
    Activations Density 0.098%

    No Known Activations