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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. 8-RES-JB
    11. 24202
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    Explanations

    questions about the implications or interpretations of certain actions or statements

    oai_token-act-pair · gpt-3.5-turbo

    questions about meaning or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iencies
    -0.87
    ographies
    -0.85
    mates
    -0.84
    visors
    -0.77
    iox
    -0.76
    phies
    -0.75
    perties
    -0.74
    vard
    -0.74
    eous
    -0.74
    mens
    -0.74
    POSITIVE LOGITS
     entails
    0.93
     newfound
    0.83
     happens
    0.82
     signifies
    0.79
     phenomenon
    0.78
     enigmatic
    0.78
     happened
    0.77
     entail
    0.77
     translates
    0.74
     guy
    0.74
    Activations Density 0.122%

    No Known Activations