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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. 2-RES-JB
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    Explanations

    words related to desires or cravings, especially for things like lust, thirst, and appetite

    oai_token-act-pair · gpt-3.5-turbo

    terms related to desire and cravings, particularly for lust and thirst

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chnology
    -0.77
     Surv
    -0.73
    semble
    -0.66
    kees
    -0.63
    ouk
    -0.62
    DK
    -0.61
    thren
    -0.61
    aminer
    -0.61
    vertisements
    -0.61
    ultz
    -0.60
    POSITIVE LOGITS
    lust
    1.08
    rous
    1.02
     thirst
    1.00
    ocity
    0.85
    thirst
    0.84
     thirsty
    0.82
    sis
    0.81
     lust
    0.80
    fully
    0.80
     Lust
    0.80
    Activations Density 0.012%

    No Known Activations