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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. 0-RES-JB
    11. 15030
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    Explanations

    adjectives and verbs related to making something attractive or interesting

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with attractiveness or desirability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Drill
    -0.77
    uci
    -0.74
    ter
    -0.67
    halla
    -0.62
     drill
    -0.62
     Formation
    -0.61
    tec
    -0.61
    onet
    -0.61
     formation
    -0.60
    TT
    -0.59
    POSITIVE LOGITS
     appealing
    3.66
     appealed
    1.97
     appeal
    1.95
     enticing
    1.90
     appeals
    1.60
     attractive
    1.58
     pleasing
    1.52
     inviting
    1.40
     tempting
    1.38
     compelling
    1.31
    Activations Density 0.014%

    No Known Activations