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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. 21045
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    Explanations

    references to specific conferences and media outlets

    oai_token-act-pair · gpt-3.5-turbo

    references to media outlets or organizations

    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
    rosc
    -0.82
    alities
    -0.76
     restrooms
    -0.74
    estic
    -0.71
     Grail
    -0.68
     elim
    -0.66
     diamond
    -0.64
    hovah
    -0.64
    ramid
    -0.64
    inates
    -0.64
    POSITIVE LOGITS
    Film
    0.82
    Wire
    0.81
    DIT
    0.80
    SPEC
    0.80
    GROUP
    0.80
    IRED
    0.79
    OUT
    0.78
     VICE
    0.77
    Cub
    0.77
    MED
    0.76
    Activations Density 0.013%

    No Known Activations