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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. 9809
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    Explanations

    vivid and artistic imagery

    oai_token-act-pair · gpt-3.5-turbo

    references to visual imagery and symbolism in various contexts

    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
    bern
    -0.93
    bye
    -0.80
    clud
    -0.77
    bred
    -0.74
    ership
    -0.70
    士
    -0.70
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.69
    berman
    -0.68
    ŃĶ
    -0.68
    idel
    -0.68
    POSITIVE LOGITS
     imagery
    1.31
     visuals
    0.84
     galleries
    0.80
    emis
    0.78
     eleph
    0.77
    isphere
    0.77
     depicting
    0.77
     images
    0.75
    abwe
    0.75
    ynt
    0.74
    Activations Density 0.005%

    No Known Activations