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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. 8631
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    Explanations

    Two-word phrases with the first word being a short word

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word 'blood'

    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
     showc
    -0.74
     Samar
    -0.71
    llah
    -0.64
     rapt
    -0.60
     prayers
    -0.59
    Recomm
    -0.58
     contrace
    -0.58
    /-
    -0.58
     Inquis
    -0.57
    Lago
    -0.57
    POSITIVE LOGITS
    hemy
    1.14
    haven
    0.83
    Cola
    0.79
    zinski
    0.75
    eworthy
    0.74
    peat
    0.74
    etooth
    0.72
    punk
    0.71
    velt
    0.70
    imore
    0.70
    Activations Density 0.073%

    No Known Activations