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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. 9-RES-JB
    11. 8818
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    Explanations

    phrases emphasizing the non-existence or denial of certain concepts or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases denying the existence of various concepts or phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uay
    -0.86
    rik
    -0.79
    allo
    -0.75
    hend
    -0.75
    emale
    -0.74
     Boone
    -0.73
    ModLoader
    -0.72
    olate
    -0.72
    phasis
    -0.71
    opian
    -0.71
    POSITIVE LOGITS
     thing
    1.35
     phenomenon
    0.84
    thing
    0.83
     luck
    0.82
     arrangement
    0.80
    ities
    0.80
     item
    0.79
     facility
    0.78
     instance
    0.78
     designation
    0.78
    Activations Density 0.031%

    No Known Activations