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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. 4-RES-JB
    11. 22355
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    Explanations

    words related to confessing or acknowledging actions or statements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to acknowledgment or admission of faults or actions

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

    No Comments

    Negative Logits
    chn
    -0.82
    rior
    -0.80
    otor
    -0.69
    ighth
    -0.66
    nc
    -0.66
    eled
    -0.65
     ILCS
    -0.65
    agnetic
    -0.64
    colo
    -0.64
    miah
    -0.64
    POSITIVE LOGITS
     wrongdoing
    0.84
     admitting
    0.83
     admit
    0.81
     admitted
    0.81
    ibility
    0.76
    ysis
    0.75
     Admission
    0.74
    iary
    0.73
    IBLE
    0.72
     admits
    0.72
    Activations Density 0.020%

    No Known Activations