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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. 4-RES-JB
    11. 15607
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    Explanations

    numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical or coded identifiers

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

    No Comments

    Negative Logits
     comprom
    -0.72
    âĸ¬
    -0.68
    FontSize
    -0.66
    BuyableInstoreAndOnline
    -0.65
     CLSID
    -0.62
    anooga
    -0.61
    agna
    -0.60
     princ
    -0.60
     srfAttach
    -0.59
    ichick
    -0.58
    POSITIVE LOGITS
    ffe
    0.87
    e
    0.74
    ean
    0.73
    df
    0.72
    eem
    0.72
    rez
    0.71
    vous
    0.68
    eff
    0.68
    wm
    0.67
    zes
    0.67
    Activations Density 0.062%

    No Known Activations