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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. 13665
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    Explanations

    terms related to options and choices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to technological optimization

    oai_token-act-pair · gpt-3.5-turbo
    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
    Ô
    -0.76
     encount
    -0.76
    WHERE
    -0.74
    ̶
    -0.74
    Que
    -0.73
    birth
    -0.69
     hemor
    -0.69
    rael
    -0.68
    Kind
    -0.67
    intent
    -0.66
    POSITIVE LOGITS
    opt
    0.92
    atory
    0.89
    imum
    0.88
    osis
    0.86
    imal
    0.82
    otic
    0.82
    ament
    0.80
    ress
    0.79
    imate
    0.78
    icism
    0.77
    Activations Density 0.006%

    No Known Activations