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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. 7-RES-JB
    11. 5218
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    INDEX
    Explanations

    mentions of financial terms and business-related activities

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with financial and economic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    s
    -0.88
    antha
    -0.87
    anus
    -0.79
    ifications
    -0.75
    ion
    -0.72
    anian
    -0.69
    ions
    -0.69
    oons
    -0.69
    arta
    -0.65
    ourcing
    -0.65
    POSITIVE LOGITS
    ller
    1.15
    ck
    1.15
    velop
    1.09
    llers
    1.02
    ces
    1.01
    cks
    0.98
    gg
    0.96
    cker
    0.95
    llor
    0.95
    chn
    0.91
    Activations Density 0.073%

    No Known Activations