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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. 4-RES-JB
    11. 19358
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cumber
    -0.70
    âĿ
    -0.70
     Hardy
    -0.69
     Upton
    -0.69
     Bridgewater
    -0.67
     Clement
    -0.67
    âĺħâĺħ
    -0.67
    lain
    -0.66
     Stafford
    -0.66
    âĨij
    -0.65
    POSITIVE LOGITS
    metry
    1.15
    pathic
    1.13
    ported
    1.08
    pathy
    1.01
    caster
    1.00
    odynam
    0.99
    communication
    0.99
    casters
    0.99
    odynamic
    0.98
    porting
    0.96
    Activations Density 0.007%

    No Known Activations