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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. 1-RES-JB
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    Explanations

    altitudes mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to altitude and elevation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.90
    女
    -0.88
    Cola
    -0.84
    bor
    -0.81
    vous
    -0.81
    BY
    -0.80
    nie
    -0.79
    lins
    -0.74
    nam
    -0.71
    Access
    -0.71
    POSITIVE LOGITS
     altitude
    1.50
     sickness
    0.92
     mosqu
    0.92
     elevation
    0.83
     certific
    0.79
     Seym
    0.78
     clearance
    0.77
     heights
    0.77
     superiority
    0.76
     misunder
    0.75
    Activations Density 0.007%

    No Known Activations