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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. 5201
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    INDEX
    Explanations

    Examples of documents that the neuron activates for: A sentence that includes "positively"

    oai_token-act-pair · gpt-3.5-turbo

    words indicating positive and negative evaluations

    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
    mount
    -0.64
     complication
    -0.63
     Ames
    -0.60
     stash
    -0.60
     Broadcast
    -0.59
    ave
    -0.59
     example
    -0.58
     Tam
    -0.58
     disclaimer
    -0.57
     Script
    -0.57
    POSITIVE LOGITS
     positively
    3.52
     negatively
    3.29
     favorably
    2.34
     adversely
    2.01
     harshly
    1.23
     critically
    1.21
     materially
    1.18
     strongly
    1.15
     indirectly
    1.15
    versely
    1.11
    Activations Density 0.029%

    No Known Activations