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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
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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 @ 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
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    No Comments

    Negative Logits
     Halls
    -0.75
    schild
    -0.66
    eering
    -0.63
     Candy
    -0.61
    proof
    -0.60
     disciplined
    -0.59
     Referred
    -0.58
    theless
    -0.58
     bottleneck
    -0.58
    handedly
    -0.58
    POSITIVE LOGITS
    .,
    1.20
    ubs
    1.08
    eno
    0.94
    .?
    0.94
    ereo
    0.93
    hered
    0.91
    .;
    0.90
    ub
    0.90
    vl
    0.89
    .:
    0.88
    Activations Density 0.061%

    No Known Activations