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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. 19106
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    Explanations

    words related to criticism or being critical

    oai_token-act-pair · gpt-3.5-turbo

    words related to complexity or complications

    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
    hyde
    -0.84
    eele
    -0.73
    plane
    -0.72
    EStream
    -0.70
    laus
    -0.69
     slash
    -0.68
    terday
    -0.68
    WT
    -0.67
    lda
    -0.65
     Bulg
    -0.65
    POSITIVE LOGITS
    icating
    1.24
    acent
    1.22
    icates
    1.14
    icit
    1.13
    icated
    1.12
    iance
    1.12
    ications
    1.06
    aint
    1.01
    ainer
    1.00
    aints
    0.98
    Activations Density 0.016%

    No Known Activations