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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. 24565
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    Explanations

    phrases related to taking action or making a decision

    oai_token-act-pair · gpt-3.5-turbo

    references to specific objects or quantities

    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
    afia
    -0.87
    uth
    -0.85
    irin
    -0.81
    appa
    -0.76
    uci
    -0.75
    vi
    -0.73
    pired
    -0.72
    su
    -0.72
    arth
    -0.71
    orld
    -0.71
    POSITIVE LOGITS
     slack
    1.04
     bearings
    0.89
     pace
    0.79
     whiff
    0.78
     sarc
    0.74
     cues
    0.74
     scent
    0.71
     stride
    0.71
     clues
    0.69
     behavi
    0.67
    Activations Density 0.077%

    No Known Activations