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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. 1-RES-JB
    11. 22534
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    Explanations

    phrases related to monetary amounts and services offered

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" used for spatial or temporal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FIG
    -0.83
    æĥ
    -0.80
    ãĥķãĤ¡
    -0.78
    ä½ľ
    -0.77
    èĥ
    -0.76
    BF
    -0.73
    è£
    -0.69
    ARB
    -0.68
    SF
    -0.67
    Prep
    -0.67
    POSITIVE LOGITS
    avorite
    0.70
    schild
    0.67
    annot
    0.66
    romeda
    0.65
     sickness
    0.64
    avanaugh
    0.64
    ctors
    0.63
    upid
    0.63
    aye
    0.63
     Yards
    0.62
    Activations Density 0.000%

    No Known Activations