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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. 11-RES-JB
    11. 11274
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    Explanations

    phrases related to receiving benefits or advantages

    oai_token-act-pair · gpt-3.5-turbo

    terms related to advantage and benefit

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rez
    -0.68
    issues
    -0.67
    orders
    -0.63
    cluding
    -0.63
    viks
    -0.62
    body
    -0.62
    olver
    -0.61
    pas
    -0.61
    vez
    -0.61
    wolves
    -0.60
    POSITIVE LOGITS
     enormously
    1.25
     immensely
    1.24
     greatly
    1.22
     tremendously
    1.19
     financially
    1.09
     from
    1.08
     hugely
    1.08
     disproportionately
    0.95
     materially
    0.95
     handsome
    0.94
    Activations Density 0.052%

    No Known Activations