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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. 6-RES-JB
    11. 9636
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    INDEX
    Explanations

    statistics and survey results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical data or percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pedia
    -0.88
    ollah
    -0.69
    sort
    -0.69
    alph
    -0.67
    capt
    -0.64
    edin
    -0.64
    dict
    -0.64
    idel
    -0.63
    archive
    -0.63
    card
    -0.62
    POSITIVE LOGITS
     respondents
    1.02
     households
    0.82
     surveyed
    0.80
     GDP
    0.76
    pees
    0.76
     polled
    0.75
     overall
    0.71
     variance
    0.70
     Fortune
    0.69
     Americans
    0.69
    Activations Density 0.072%

    No Known Activations