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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. 0-RES-JB
    11. 17008
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    Explanations

    actions related to physical work or craftsmanship, specifically focusing on activities like acrobatics and welding

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with specific activities or skills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çİĭ
    -0.73
    é¾
    -0.69
    sbm
    -0.68
    ################################
    -0.66
    orthy
    -0.66
    amara
    -0.65
    cipl
    -0.61
    ########
    -0.61
    ###
    -0.59
    ×Ļ
    -0.58
    POSITIVE LOGITS
    robat
    1.95
     its
    1.30
    Its
    1.02
     Its
    0.95
    stood
    0.76
    Widget
    0.72
    uously
    0.70
    opian
    0.69
     ITS
    0.68
    alist
    0.65
    Activations Density 0.001%

    No Known Activations