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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. 7884
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    Explanations

    currency values

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    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
     Blaz
    -0.69
     Bram
    -0.67
     amen
    -0.66
    itor
    -0.65
     seeker
    -0.65
     exerc
    -0.64
     Poo
    -0.63
     Bere
    -0.60
    oqu
    -0.58
     blight
    -0.58
    POSITIVE LOGITS
    interstitial
    0.98
    ģ«
    0.79
    /-
    0.73
    ead
    0.72
    afort
    0.71
    1000
    0.69
    uild
    0.69
    atari
    0.68
    150
    0.67
     (£
    0.67
    Activations Density 0.015%

    No Known Activations