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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. 11-RES-JB
    11. 832
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    INDEX
    Explanations

    phrases related to atmospheric conditions and gases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to atmospheric science and gas composition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    practice
    -0.79
     Bers
    -0.78
    iasis
    -0.73
    adra
    -0.71
    thood
    -0.69
    lando
    -0.68
    umbn
    -0.68
    point
    -0.67
    lege
    -0.67
    pec
    -0.66
    POSITIVE LOGITS
     ozone
    1.15
     moisture
    1.08
     gases
    1.06
     molecules
    1.06
     helium
    1.02
     layer
    0.99
     dioxide
    0.99
     vap
    0.99
     pollutants
    0.99
    osphere
    0.98
    Activations Density 0.098%

    No Known Activations