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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. 6-RES-JB
    11. 2885
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.77
    imura
    -0.77
    UAL
    -0.76
    LER
    -0.76
    older
    -0.73
    IRD
    -0.71
    å¦
    -0.70
     Appears
    -0.69
    attr
    -0.69
    ivic
    -0.69
    POSITIVE LOGITS
    bies
    1.20
    zing
    1.14
    zes
    0.98
    ze
    0.92
    zed
    0.86
    zers
    0.85
    zer
    0.83
     zones
    0.80
    bie
    0.80
    cks
    0.76
    Activations Density 0.022%

    No Known Activations