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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. 16034
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    Explanations

    words related to intense desires or strong passions, particularly involving romantic or physical desires

    oai_token-act-pair · gpt-3.5-turbo

    themes related to desires and cravings, particularly lust and greed

    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
    UGH
    -0.73
     Telephone
    -0.63
     sshd
    -0.62
    illin
    -0.61
    chnology
    -0.60
    SPONSORED
    -0.60
    anke
    -0.60
    ------------------------------------------------
    -0.59
    clinton
    -0.59
     Oops
    -0.59
    POSITIVE LOGITS
    rous
    1.11
    lust
    1.11
    fully
    1.10
    ful
    1.05
     lust
    0.91
    fulness
    0.87
     Lust
    0.87
    ily
    0.82
    iously
    0.82
    thirst
    0.77
    Activations Density 0.016%

    No Known Activations