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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. 2825
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    INDEX
    Explanations

    exclamations or surprise interjections

    oai_token-act-pair · gpt-3.5-turbo

    expressions of informal communication or reactions

    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
    ingham
    -0.67
    iership
    -0.66
     Siber
    -0.63
    Redd
    -0.62
    front
    -0.61
    nant
    -0.61
     encamp
    -0.58
    Fall
    -0.58
    RAW
    -0.58
     litter
    -0.58
    POSITIVE LOGITS
    terday
    0.99
    mmm
    0.83
    ãĤ´ãĥ³
    0.79
     kidding
    0.79
     yes
    0.77
     prest
    0.75
    selves
    0.72
    hhh
    0.71
    zers
    0.68
     goodbye
    0.68
    Activations Density 0.101%

    No Known Activations