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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. 13749
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and entities, particularly those associated with notable or controversial actions and issues

    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
    ologies
    -0.87
    udic
    -0.82
    icians
    -0.79
    ician
    -0.78
    otypes
    -0.78
    ischer
    -0.77
    ographically
    -0.77
    onyms
    -0.77
    opl
    -0.76
    osite
    -0.76
    POSITIVE LOGITS
    pring
    0.91
    gaard
    0.74
    æł
    0.70
     Seasons
    0.69
    lander
    0.68
    boro
    0.68
     clan
    0.67
    ledged
    0.67
    ï¸ı
    0.65
    hews
    0.65
    Activations Density 0.090%

    No Known Activations