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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. 8-RES-JB
    11. 10460
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    Explanations

    words related to intentions or plans

    oai_token-act-pair · gpt-3.5-turbo

    words related to intentions, plans, and outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eg
    -0.84
    rongh
    -0.69
    hap
    -0.64
    initely
    -0.64
    estern
    -0.64
    sung
    -0.64
    ometimes
    -0.63
    igslist
    -0.63
    orks
    -0.61
    itton
    -0.61
    POSITIVE LOGITS
     whatsoever
    2.01
     nor
    1.17
     anymore
    0.99
     except
    0.88
    galitarian
    0.78
     anybody
    0.78
    nor
    0.77
    ivable
    0.76
     beyond
    0.74
    soever
    0.74
    Activations Density 0.208%

    No Known Activations