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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. 13680
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to varying sizes or generalizations

    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
     Britann
    -0.70
     helm
    -0.65
     ranks
    -0.65
     Lawrence
    -0.64
     Lens
    -0.63
     hardness
    -0.62
     etched
    -0.62
     penned
    -0.62
     eagerly
    -0.62
     Petro
    -0.61
    POSITIVE LOGITS
    too
    1.12
    enough
    1.07
    shit
    1.05
    your
    1.03
    recomm
    1.02
    selves
    1.02
    warm
    1.01
    function
    1.00
    prison
    1.00
    whatever
    0.99
    Activations Density 0.072%

    No Known Activations