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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. 7-RES-JB
    6. 15895
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific and technical subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alin
    -0.76
    inia
    -0.75
    alone
    -0.72
    renheit
    -0.71
    DonaldTrump
    -0.69
     Solitaire
    -0.68
    shall
    -0.67
    lda
    -0.66
    haps
    -0.66
    ptives
    -0.65
    POSITIVE LOGITS
     aspect
    1.07
     department
    1.06
    iest
    1.02
     process
    1.00
     implications
    0.96
     profession
    0.96
     gap
    0.94
     ramifications
    0.93
     feasibility
    0.90
     landscape
    0.90
    Activations Density 0.389%

    No Known Activations