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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. 8-RES-JB
    11. 23665
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    Explanations

    phrases related to actions and decisions made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of agreement or approval in discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.90
    ãĥĺãĥ©
    -0.80
    senal
    -0.71
    orage
    -0.69
    winner
    -0.69
     eleph
    -0.66
    abase
    -0.65
    omics
    -0.65
    eaturing
    -0.63
     looms
    -0.63
    POSITIVE LOGITS
     instinctively
    1.01
     hesitate
    0.91
     chose
    0.89
     hurried
    0.88
     impuls
    0.86
     blindly
    0.84
     gladly
    0.83
     willingly
    0.83
     acquies
    0.82
     rushed
    0.81
    Activations Density 0.729%

    No Known Activations