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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. 8675
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    Explanations

    phrases related to policies, community services, and organizational structures

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various 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
    osta
    -0.89
    lished
    -0.82
    uta
    -0.77
    atan
    -0.73
    acas
    -0.72
    ":""},{"
    -0.72
    ucci
    -0.71
    acci
    -0.70
    psc
    -0.70
    esm
    -0.69
    POSITIVE LOGITS
     thereby
    1.03
     hence
    1.00
     consequently
    0.99
     assorted
    0.98
     thus
    0.97
     resultant
    0.84
     therefore
    0.84
     thence
    0.81
     occasional
    0.79
     consequ
    0.78
    Activations Density 0.420%

    No Known Activations