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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. 9-RES-JB
    11. 5886
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    Explanations

    the phrase "True" with various contexts and intensities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "True" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inson
    -0.72
    ulative
    -0.70
    acco
    -0.70
    ishers
    -0.70
    ̶
    -0.66
    aid
    -0.66
    joining
    -0.66
    served
    -0.65
    onent
    -0.65
    etsk
    -0.64
    POSITIVE LOGITS
     believers
    1.16
     believer
    1.09
     positives
    0.82
     unfocusedRange
    0.82
    stic
    0.78
     freshman
    0.77
     guiIcon
    0.76
     Detective
    0.74
     patriot
    0.72
    polit
    0.71
    Activations Density 0.026%

    No Known Activations