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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. 20894
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    INDEX
    Explanations

    expressions related to intensity or degree

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the degree or magnitude of something

    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
    egg
    -0.69
    anmar
    -0.67
    stitial
    -0.67
    verbs
    -0.66
    byte
    -0.66
    reth
    -0.66
    itone
    -0.66
    Interstitial
    -0.65
    RY
    -0.65
    wana
    -0.63
    POSITIVE LOGITS
     extent
    1.08
     practicable
    0.82
    aler
    0.71
    tenance
    0.70
    essment
    0.70
    lessness
    0.69
    conom
    0.69
    afety
    0.69
    ially
    0.67
    iary
    0.65
    Activations Density 0.013%

    No Known Activations