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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. 3-RES-JB
    11. 6178
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    Explanations

    words related to disruption, particularly events or situations involving sudden or significant change

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bankruptcy and disruption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.68
    >>>>>>>>
    -0.63
     Magnum
    -0.61
    anuts
    -0.60
    ASED
    -0.59
    IRD
    -0.59
    ãĥ¯ãĥ³
    -0.59
    è£ħ
    -0.59
    FY
    -0.58
    WAYS
    -0.58
    POSITIVE LOGITS
    rupt
    1.16
    ions
    1.15
    itude
    0.97
    iation
    0.92
    gments
    0.90
    ures
    0.88
    ible
    0.87
    cies
    0.85
    cy
    0.84
    ure
    0.84
    Activations Density 0.013%

    No Known Activations