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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. 3638
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     dumps
    -0.76
     Chero
    -0.70
     Stick
    -0.69
     branches
    -0.65
     Cla
    -0.65
     Flip
    -0.64
     Stuff
    -0.64
     Buzz
    -0.64
     Pip
    -0.63
     fixtures
    -0.63
    POSITIVE LOGITS
    agram
    1.08
    abolic
    1.08
    ointment
    1.05
    interesting
    1.03
    alogue
    1.02
    omaly
    0.96
    aura
    0.96
    oint
    0.96
    vil
    0.95
    open
    0.94
    Activations Density 0.095%

    No Known Activations