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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. 9-RES-JB
    11. 16221
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    Explanations

    phrases related to choices or alternatives

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate potential or likelihood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pony
    -0.85
     Cth
    -0.84
    ETS
    -0.77
    arks
    -0.75
    eers
    -0.73
    ocracy
    -0.71
    ARDS
    -0.69
     Wast
    -0.65
    erers
    -0.64
     Values
    -0.63
    POSITIVE LOGITS
    acles
    1.30
    acle
    1.23
    chard
    1.21
    ifice
    1.07
    acular
    1.01
    chid
    0.99
    nery
    0.97
    leans
    0.95
    Else
    0.95
    phan
    0.94
    Activations Density 0.130%

    No Known Activations