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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. 13042
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    Explanations

    terms related to scoring or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scoring and measurement metrics in various contexts

    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
    lly
    -0.75
    ĸļ
    -0.66
    BUS
    -0.64
    UAL
    -0.63
    sle
    -0.63
     compulsion
    -0.62
    BY
    -0.62
     Colt
    -0.62
    ulkan
    -0.60
    cation
    -0.60
    POSITIVE LOGITS
    card
    1.05
     scores
    0.95
    cards
    0.88
    affer
    0.79
     score
    0.78
    icket
    0.76
    ients
    0.75
    itudes
    0.74
    ific
    0.74
    ient
    0.74
    Activations Density 0.017%

    No Known Activations