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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. 16672
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    Explanations

    financial information such as prices and stock market details

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Mon" or "MON" in various contexts, likely referring to Monday or monetary terms

    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
     Norn
    -0.95
    OHN
    -0.78
    ACTED
    -0.75
    ãĤº
    -0.75
    avorite
    -0.73
    èĥ
    -0.73
    FUL
    -0.73
    ENG
    -0.73
    NRS
    -0.72
    EXP
    -0.71
    POSITIVE LOGITS
    roe
    1.08
    strous
    1.08
    ths
    1.02
    itored
    0.91
    sters
    0.91
    ument
    0.91
    iac
    0.90
    olithic
    0.85
    stros
    0.83
    ica
    0.83
    Activations Density 0.008%

    No Known Activations