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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. 6378
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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
    Not in Any Lists

    No Comments

    Negative Logits
     stalk
    -0.69
     almonds
    -0.67
     sheets
    -0.63
     tentacles
    -0.62
     Squid
    -0.61
     clutch
    -0.61
     belt
    -0.59
     couch
    -0.59
     Apollo
    -0.59
     belts
    -0.58
    POSITIVE LOGITS
    ternity
    1.01
    nom
    0.88
    vez
    0.85
    arna
    0.84
    û
    0.82
    ét
    0.82
    ivil
    0.81
    llor
    0.80
    ĥ
    0.77
    rien
    0.77
    Activations Density 0.066%

    No Known Activations