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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. 8-RES-JB
    11. 11359
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing mandatory viewing or strong recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.70
     Pilgrim
    -0.69
     Thousand
    -0.68
     Cantor
    -0.68
     Painter
    -0.67
     Bhar
    -0.67
     Catalyst
    -0.65
    gee
    -0.65
     Mig
    -0.64
     Schwar
    -0.63
    POSITIVE LOGITS
     WATCH
    1.10
    ANG
    0.77
    ARD
    0.76
    OTS
    0.76
     consume
    0.73
    ENS
    0.72
     adhere
    0.72
    OSE
    0.71
    ORTS
    0.70
    LECT
    0.69
    Activations Density 0.009%

    No Known Activations