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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. 5745
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to online gaming-related terms or abbreviations

    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
     Edison
    -0.74
    issance
    -0.73
     Lank
    -0.72
    noon
    -0.69
    idence
    -0.69
    tera
    -0.68
     Carmen
    -0.66
    fed
    -0.63
    vier
    -0.63
     Borough
    -0.62
    POSITIVE LOGITS
    OG
    1.18
    UE
    1.16
    RAM
    0.99
    uish
    0.92
    UES
    0.90
    ION
    0.90
    RA
    0.89
    regor
    0.88
    OO
    0.85
    HA
    0.83
    Activations Density 0.007%

    No Known Activations