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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. 4-RES-JB
    11. 8805
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    Explanations

    scientific observations and measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to observations and measurements in scientific contexts

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

    No Comments

    Negative Logits
    iery
    -0.73
    gm
    -0.71
    ordinate
    -0.69
    iencies
    -0.67
    enic
    -0.66
    avis
    -0.65
    events
    -0.63
    tiny
    -0.63
    estones
    -0.63
     saline
    -0.63
    POSITIVE LOGITS
    ally
    0.82
    naire
    0.79
    ary
    0.79
    eering
    0.75
    ariat
    0.74
     of
    0.71
    eers
    0.69
    hower
    0.69
    ptions
    0.66
    cember
    0.65
    Activations Density 0.083%

    No Known Activations