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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. 3-RES-JB
    11. 18511
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     SUP
    -0.76
     occupant
    -0.71
    IED
    -0.68
     Comfort
    -0.66
     Astro
    -0.64
     Couch
    -0.63
     Trop
    -0.63
     Hearing
    -0.61
     Conditions
    -0.61
     vap
    -0.60
    POSITIVE LOGITS
    ces
    0.96
    zees
    0.91
    cean
    0.89
    tein
    0.86
    ced
    0.85
    aunder
    0.84
    olulu
    0.84
    zers
    0.82
    uten
    0.82
    cial
    0.80
    Activations Density 0.028%

    No Known Activations