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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. 11-RES-JB
    11. 3510
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    INDEX
    Explanations

    phrases related to dealing with various issues or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to handling or managing challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orious
    -0.59
    asus
    -0.58
    fram
    -0.57
    jiang
    -0.56
    chell
    -0.56
    ilings
    -0.55
    psey
    -0.55
    hee
    -0.54
    Enlarge
    -0.53
     Writers
    -0.51
    POSITIVE LOGITS
     harshly
    0.91
     with
    0.89
     withd
    0.78
    atively
    0.76
     honestly
    0.74
    With
    0.73
    pez
    0.72
     directly
    0.72
     WITH
    0.72
    ativity
    0.72
    Activations Density 0.047%

    No Known Activations