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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. 9-RES-JB
    11. 22953
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    Explanations

    phrases related to movement or change, especially coming and going

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve the concept of coming and going

    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
    STE
    -0.63
    agna
    -0.63
     Infantry
    -0.62
    relevant
    -0.62
    responsible
    -0.60
    livious
    -0.59
    illard
    -0.58
    hoe
    -0.57
    imov
    -0.57
    osterone
    -0.56
    POSITIVE LOGITS
     go
    0.80
     went
    0.80
     gone
    0.77
     greet
    0.74
     disappear
    0.73
     boarded
    0.70
     depart
    0.70
    hra
    0.70
     haunt
    0.70
     stayed
    0.69
    Activations Density 0.053%

    No Known Activations