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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. 2-RES-JB
    11. 9217
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    Explanations

    mentions of rhinos

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rhinoceroses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.88
    hiro
    -0.69
    PORT
    -0.67
     EntityItem
    -0.66
    Loading
    -0.66
     Sacrament
    -0.66
     Achievements
    -0.66
    PRO
    -0.66
    Tokens
    -0.65
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.65
    POSITIVE LOGITS
     rh
    1.19
    ymes
    1.10
    orns
    0.96
    saf
    0.91
    llor
    0.85
    onso
    0.85
    ythm
    0.85
    ython
    0.83
    onda
    0.80
    ofer
    0.78
    Activations Density 0.008%

    No Known Activations