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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. 10234
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    Explanations

    phrases and statements related to personal reflections or decisions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of common phrases and rhetorical questions

    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
    tnc
    -0.63
    olson
    -0.63
    javascript
    -0.61
    earch
    -0.60
    SPONSORED
    -0.60
    iceps
    -0.60
    ridor
    -0.60
    ],"
    -0.59
    ê
    -0.59
     ÂŃ
    -0.58
    POSITIVE LOGITS
    cknowled
    0.79
    oret
    0.78
    cknow
    0.73
    eday
    0.73
    entimes
    0.66
    neath
    0.64
     importantly
    0.63
     Stupid
    0.61
     blat
    0.61
     consequence
    0.59
    Activations Density 0.799%

    No Known Activations