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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. 23196
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    Explanations

    terms related to the concept of 'haste'

    oai_token-act-pair · gpt-3.5-turbo

    types of taste descriptors

    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
    ensical
    -0.76
    ipeg
    -0.72
    keye
    -0.72
    cit
    -0.68
    hips
    -0.68
    sports
    -0.68
    hov
    -0.67
    ansom
    -0.67
    yip
    -0.65
    otiation
    -0.64
    POSITIVE LOGITS
    aste
    1.08
    ONT
    0.79
    asted
    0.77
    Override
    0.76
    arde
    0.76
    OME
    0.73
    ener
    0.73
    asting
    0.72
    Ware
    0.72
    Armor
    0.72
    Activations Density 0.013%

    No Known Activations