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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. 7-RES-JB
    11. 13900
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    INDEX
    Explanations

    phrases related to randomness or subjectivity

    oai_token-act-pair · gpt-3.5-turbo

    terms relating to arbitrariness or undefined standards

    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
    heses
    -0.97
    oir
    -0.85
    iquette
    -0.83
    hesis
    -0.80
    ership
    -0.79
    href
    -0.78
    masters
    -0.78
    iano
    -0.74
    rait
    -0.72
    tha
    -0.72
    POSITIVE LOGITS
     Pengu
    0.75
     paced
    0.73
     whims
    0.73
     discontin
    0.71
     randomly
    0.70
     sentenced
    0.69
     arbitrarily
    0.68
     fluct
    0.68
     allocated
    0.68
     combust
    0.67
    Activations Density 0.055%

    No Known Activations