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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. 4-RES-JB
    11. 13622
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    INDEX
    Explanations

    terms related to radio or podcast audiences, such as "listener" or "caller"

    oai_token-act-pair · gpt-3.5-turbo

    references to listeners and calls to action from them

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

    No Comments

    Negative Logits
    sis
    -0.76
     Madrid
    -0.69
     Forestry
    -0.69
     Rite
    -0.66
     Templar
    -0.66
     Lancet
    -0.64
     Athletics
    -0.64
     Bull
    -0.64
     Enforcement
    -0.63
     Spain
    -0.62
    POSITIVE LOGITS
     listeners
    1.34
     listener
    1.31
     listening
    0.95
     ears
    0.94
     listened
    0.94
     voic
    0.92
     listen
    0.87
    ngth
    0.83
     listens
    0.83
    etooth
    0.82
    Activations Density 0.011%

    No Known Activations