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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. 4423
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    INDEX
    Explanations

    imperative statements prompting action or response

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating perception and belief

    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
    nb
    -0.76
    atform
    -0.75
    ãĤ´ãĥ³
    -0.74
    astern
    -0.70
    livious
    -0.66
    NetMessage
    -0.65
    roxy
    -0.63
    EStreamFrame
    -0.63
    akia
    -0.63
    ilib
    -0.62
    POSITIVE LOGITS
     otherwise
    0.72
     misfortune
    0.72
     somebody
    0.72
     mist
    0.70
     someone
    0.70
     whiff
    0.67
     slightest
    0.67
    ãĤ®
    0.67
     something
    0.66
    ¿½
    0.65
    Activations Density 0.157%

    No Known Activations