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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. 9-RES-JB
    11. 4705
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    Explanations

    proper nouns or terms related to specific committees, boards, or selections

    oai_token-act-pair · gpt-3.5-turbo

    the term "select" and its related forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.81
    STD
    -0.67
    wig
    -0.65
    WARN
    -0.64
    loo
    -0.63
    PDATE
    -0.63
    olid
    -0.61
    ¯¯¯¯
    -0.61
    brance
    -0.60
    ipple
    -0.59
    POSITIVE LOGITS
    ivity
    1.35
    ively
    1.16
    ives
    0.91
    ivities
    0.89
    ive
    0.89
    ions
    0.85
    prising
    0.76
    inations
    0.75
    selection
    0.74
    iveness
    0.74
    Activations Density 0.039%

    No Known Activations