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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. 0-RES-JB
    11. 1288
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    Explanations

    approximate measurements or values

    oai_token-act-pair · gpt-3.5-turbo

    terms relating to approximate measurements and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SpaceEngineers
    -0.74
    BIP
    -0.70
    eding
    -0.69
    iferation
    -0.68
    advertisement
    -0.65
     Accountability
    -0.62
    unity
    -0.62
     Cuomo
    -0.60
     joint
    -0.60
     discriminatory
    -0.60
    POSITIVE LOGITS
    rox
    4.17
    roxy
    1.69
     approx
    1.57
     approximate
    1.22
    roximately
    1.19
    rax
    0.99
     mins
    0.93
    atos
    0.90
     Dimensions
    0.89
     TBA
    0.88
    Activations Density 0.016%

    No Known Activations