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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. 3173
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    Explanations

    references to mountain-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "mountain" and related geographical features

    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
    tle
    -0.77
     Machina
    -0.77
    BACK
    -0.76
    uel
    -0.73
    Dialogue
    -0.72
     Leilan
    -0.71
    encia
    -0.71
    lest
    -0.69
    uality
    -0.68
    lich
    -0.67
    POSITIVE LOGITS
     biking
    1.18
     footh
    1.00
     climbers
    0.96
     ridge
    0.94
     laure
    0.94
     slopes
    0.88
     lion
    0.85
     valley
    0.84
     mountains
    0.84
     mountain
    0.84
    Activations Density 0.064%

    No Known Activations