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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. 9-RES-JB
    11. 3270
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    INDEX
    Explanations

    positive adjectives

    oai_token-act-pair · gpt-3.5-turbo

    expressions emphasizing high quality or excellence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.80
    ahime
    -0.76
    arta
    -0.73
    odore
    -0.72
     Mansion
    -0.68
    ideon
    -0.68
    arella
    -0.67
    etheus
    -0.67
     Tycoon
    -0.65
    culosis
    -0.65
    POSITIVE LOGITS
     innocuous
    1.16
    interesting
    1.06
     juicy
    1.04
     incrim
    1.04
     egregious
    1.03
     objectionable
    1.03
     unpleasant
    1.00
     reputable
    0.99
     useful
    0.99
     meaningful
    0.98
    Activations Density 0.259%

    No Known Activations