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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 5711
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    Explanations

    words related to visual or sensory evaluation such as "looks", "tastes", "feels"

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of visual appearances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    limit
    -0.73
    ulla
    -0.69
    learning
    -0.67
    ilings
    -0.67
    upuncture
    -0.67
    mental
    -0.66
    trl
    -0.66
     Osw
    -0.65
    venient
    -0.64
    ference
    -0.63
    POSITIVE LOGITS
     suspic
    0.93
     like
    0.89
     awfully
    0.88
     identical
    0.84
     strikingly
    0.83
     blurry
    0.81
     sleek
    0.80
     vaguely
    0.79
     prett
    0.79
     shiny
    0.78
    Activations Density 0.068%

    No Known Activations