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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. 3-RES-JB
    11. 9559
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    Explanations

    trademarks or registered symbols

    oai_token-act-pair · gpt-3.5-turbo

    trademarks and brand mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -1.03
    */(
    -0.85
    vernment
    -0.80
    furt
    -0.76
    ships
    -0.74
    Ò
    -0.73
    byss
    -0.71
    emouth
    -0.67
    shall
    -0.67
    batch
    -0.67
    POSITIVE LOGITS
    obile
    0.97
    TM
    0.93
    NT
    0.88
    astics
    0.83
    RC
    0.82
    astic
    0.80
    ULT
    0.80
    asters
    0.79
    agic
    0.79
    agnetic
    0.78
    Activations Density 0.008%

    No Known Activations