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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. 3049
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    Explanations

    options or settings that can be turned on or off

    oai_token-act-pair · gpt-3.5-turbo

    options and settings related to configuration or functionality

    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
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    Negative Logits
    axies
    -0.71
     reunited
    -0.71
    odcast
    -0.70
     Oswald
    -0.69
     excav
    -0.65
     recount
    -0.65
    ymph
    -0.64
     Rus
    -0.64
     Durham
    -0.63
     Carroll
    -0.63
    POSITIVE LOGITS
     defaults
    1.49
    Enable
    1.33
     override
    1.29
     overr
    1.27
     default
    1.23
     Enabled
    1.23
     Enable
    1.23
     Default
    1.23
    Default
    1.22
    Disable
    1.19
    Activations Density 0.356%

    No Known Activations