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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. 4944
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    Explanations

    places where people sit or stand

    oai_token-act-pair · gpt-3.5-turbo

    locations or settings related to home and familiar environments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    prise
    -0.79
    erity
    -0.69
    Firstly
    -0.68
    ãĥī
    -0.68
    enthal
    -0.67
    Appearance
    -0.64
    Ī
    -0.63
    omever
    -0.63
    FK
    -0.63
    estamp
    -0.63
    POSITIVE LOGITS
     staring
    1.35
     waiting
    1.29
     awaiting
    1.29
     enjoying
    1.27
     gazing
    1.26
     clutching
    1.25
     wondering
    1.24
     watching
    1.24
     surrounded
    1.19
     contemplating
    1.19
    Activations Density 0.312%

    No Known Activations