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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 7646
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific capitalized terms or proper nouns

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

    No Comments

    Negative Logits
     Atlantic
    -0.75
     wart
    -0.72
     drift
    -0.70
    chnology
    -0.67
     sea
    -0.66
    ength
    -0.66
     Glac
    -0.65
     Lauder
    -0.65
     grounding
    -0.65
    bilt
    -0.61
    POSITIVE LOGITS
    bing
    1.21
    bies
    1.11
    bish
    1.10
    bers
    1.08
    ļéĨĴ
    1.03
    bed
    1.00
    bles
    1.00
    bie
    0.99
    lishing
    0.99
    lique
    0.95
    Activations Density 0.015%

    No Known Activations