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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. 2-RES-JB
    11. 6487
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    Explanations

    mentions of burial or serious matters in the text

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivity
    -0.81
    ILA
    -0.80
    é¾įå
    -0.72
    ĩ
    -0.70
     GOODMAN
    -0.70
    atan
    -0.67
    anwhile
    -0.67
    encer
    -0.65
    Hyper
    -0.64
    PUT
    -0.64
    POSITIVE LOGITS
     grave
    1.15
    lly
    1.10
    grave
    1.06
     graves
    0.85
     robbing
    0.83
     robber
    0.79
    stone
    0.74
    bed
    0.74
    cedes
    0.74
    fur
    0.73
    Activations Density 0.011%

    No Known Activations