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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
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    Explanations

    magnitude measurements

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "attitude."

    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
    soDeliveryDate
    -0.85
    ded
    -0.85
    icles
    -0.82
    imposed
    -0.77
    ding
    -0.77
    dies
    -0.76
    gotten
    -0.75
    thal
    -0.71
    din
    -0.70
    ecause
    -0.70
    POSITIVE LOGITS
    itude
    1.03
    itudes
    0.83
    borgh
    0.78
    atsu
    0.72
    ignt
    0.71
     Hai
    0.71
    itudinal
    0.70
    yip
    0.67
     seeker
    0.67
    itud
    0.66
    Activations Density 0.008%

    No Known Activations