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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. 60
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    INDEX
    Explanations

    phrases indicating a small amount or degree

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "little" in varying contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    eneg
    -0.83
    idents
    -0.71
    itivity
    -0.70
    igham
    -0.70
    votes
    -0.69
    ocity
    -0.68
    osponsors
    -0.68
    amac
    -0.67
    hire
    -0.67
    llers
    -0.66
    POSITIVE LOGITS
     bit
    1.23
     peek
    0.83
     helper
    0.81
     glimpse
    0.76
     consolation
    0.72
     somet
    0.70
     hitter
    0.70
     wee
    0.70
     tid
    0.68
     girl
    0.68
    Activations Density 0.024%

    No Known Activations