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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. 18015
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    Explanations

    keywords related to speed and acceleration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to acceleration and startup programs

    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
    rien
    -0.86
    oro
    -0.70
    aida
    -0.70
    ä¸ī
    -0.69
    akov
    -0.69
    nant
    -0.68
    rought
    -0.68
    sworth
    -0.67
    Ñ
    -0.66
    arov
    -0.66
    POSITIVE LOGITS
     acceleration
    1.18
     acceler
    1.13
     accelerating
    1.02
    celer
    0.97
     accelerate
    0.94
     accelerator
    0.93
     tempo
    0.86
     depreciation
    0.83
     accelerated
    0.81
     braking
    0.79
    Activations Density 0.013%

    No Known Activations