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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 19773
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    Explanations

    technical terms related to programming and software development

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the definite article "the" and contextually relevant phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arenthood
    -0.77
    SPONSORED
    -0.73
    Brexit
    -0.69
    SHARE
    -0.67
    LGBT
    -0.66
    AIDS
    -0.66
    cosystem
    -0.64
    rir
    -0.64
    abuse
    -0.63
    Scotland
    -0.63
    POSITIVE LOGITS
     easiest
    1.52
    oret
    1.44
     simplest
    1.41
     quickest
    1.21
     downside
    1.13
     difference
    1.12
    orem
    1.11
     earliest
    1.11
     smallest
    1.07
     safest
    1.07
    Activations Density 0.370%

    No Known Activations