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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. 16774
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    Explanations

    mentions of specific technology companies or products

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals, companies, or organizations, particularly in a context related to social issues

    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
    phans
    -0.75
    oxin
    -0.71
    rieve
    -0.70
    oled
    -0.68
    lift
    -0.68
    orpor
    -0.68
    phrase
    -0.68
    oop
    -0.68
    oling
    -0.67
    arse
    -0.62
    POSITIVE LOGITS
    issance
    0.95
    ezvous
    0.78
    kus
    0.74
    haus
    0.73
    ptive
    0.72
    utical
    0.71
    sonian
    0.69
    ian
    0.68
    llor
    0.68
    ces
    0.67
    Activations Density 0.143%

    No Known Activations