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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. 10-RES-JB
    11. 5611
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    Explanations

    instances of expressions of support

    oai_token-act-pair · gpt-3.5-turbo

    expressions of support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cha
    -0.66
    kered
    -0.65
    tein
    -0.64
     unbeliev
    -0.64
    apeake
    -0.61
    chin
    -0.60
    corn
    -0.59
     challeng
    -0.58
    flix
    -0.58
    sa
    -0.57
    POSITIVE LOGITS
    ive
    0.89
    itism
    0.84
     networks
    0.79
    arity
    0.79
    ament
    0.78
    ership
    0.76
    iveness
    0.74
     staff
    0.72
    hesis
    0.71
    heses
    0.70
    Activations Density 0.051%

    No Known Activations