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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. 3-RES-JB
    11. 3580
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    Explanations

    words related to residences or locations, particularly with the term "residence" in them

    oai_token-act-pair · gpt-3.5-turbo

    terms related to residence and living situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wana
    -0.73
    ask
    -0.72
    bit
    -0.71
    azes
    -0.69
    CHR
    -0.69
    aryl
    -0.67
    cases
    -0.66
    aved
    -0.65
    bern
    -0.65
    âĸº
    -0.65
    POSITIVE LOGITS
     Prophe
    0.94
    idence
    0.93
     Providence
    0.82
    ality
    0.78
    istically
    0.77
    enance
    0.76
    ity
    0.74
     Almighty
    0.72
     Bruins
    0.71
    llor
    0.70
    Activations Density 0.033%

    No Known Activations