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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. 6699
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    Explanations

    phrases related to reasons or causation

    oai_token-act-pair · gpt-3.5-turbo

    explanations or justifications for statements

    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
    shaw
    -0.74
    wn
    -0.71
    mint
    -0.71
    ns
    -0.70
    Sham
    -0.68
    yan
    -0.68
    cre
    -0.67
    agin
    -0.67
    athi
    -0.67
    ardon
    -0.67
    POSITIVE LOGITS
    */(
    0.90
     anecd
    0.69
    akening
    0.68
    assetsadobe
    0.68
    endment
    0.68
     they
    0.67
     proxies
    0.67
    ecause
    0.65
    uristic
    0.65
    soever
    0.63
    Activations Density 0.077%

    No Known Activations