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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. 19717
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    INDEX
    Explanations

    mentions of and descriptions related to grass

    oai_token-act-pair · gpt-3.5-turbo

    references to grass or grassy environments

    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
    umbn
    -0.78
    osexual
    -0.76
    icts
    -0.72
    ukong
    -0.70
    andem
    -0.68
     Somers
    -0.66
    abol
    -0.63
    ISM
    -0.63
     critically
    -0.62
    iction
    -0.61
    POSITIVE LOGITS
    roots
    1.14
    lands
    1.09
    ho
    1.05
     airst
    0.93
    wood
    0.92
    flower
    0.91
    grass
    0.90
    nut
    0.90
    woods
    0.88
    fields
    0.87
    Activations Density 0.011%

    No Known Activations