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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. 7-RES-JB
    11. 17862
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    Explanations

    phrases related to making decisions or taking action

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to significant actions or decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iolet
    -0.66
     teasp
    -0.65
    dos
    -0.65
    ailability
    -0.62
    inia
    -0.62
    held
    -0.61
    inav
    -0.60
     practition
    -0.58
    annot
    -0.58
    employ
    -0.57
    POSITIVE LOGITS
    iest
    0.90
    liest
    0.84
     anew
    0.77
     wisely
    0.76
     ahead
    0.74
     responsibly
    0.73
     correctly
    0.73
    wrong
    0.73
    osphere
    0.73
    enium
    0.72
    Activations Density 0.277%

    No Known Activations