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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. 10048
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    Explanations

    numbers related to quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    frequently mentioned numerical values or identifiers related to events or facts

    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
     streets
    -0.68
     Net
    -0.68
     bout
    -0.67
     fame
    -0.67
     21
    -0.66
     mission
    -0.65
     Mission
    -0.64
     counter
    -0.63
     66
    -0.63
     net
    -0.62
    POSITIVE LOGITS
    340
    2.55
    350
    2.55
    370
    2.51
    380
    2.44
    330
    2.40
    320
    2.39
    345
    2.27
    450
    2.24
    325
    2.24
    470
    2.22
    Activations Density 0.042%

    No Known Activations