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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. 6-RES-JB
    11. 23711
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    Explanations

    phrases or contexts related to financial data or reporting

    oai_token-act-pair · gpt-3.5-turbo

    the word "line" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.77
    ndum
    -0.76
    KNOWN
    -0.74
    CLASSIFIED
    -0.73
    ricular
    -0.73
    sburg
    -0.73
    ILLE
    -0.70
    ILY
    -0.70
    ILD
    -0.69
    STEM
    -0.69
    POSITIVE LOGITS
    ages
    1.17
    backer
    1.16
    aments
    1.12
    ups
    1.07
    lines
    0.83
    breaks
    0.81
    up
    0.81
    breaking
    0.80
    age
    0.78
    points
    0.77
    Activations Density 0.036%

    No Known Activations