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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. 64
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    Explanations

    references to radio stations or shows with associated numbers

    oai_token-act-pair · gpt-3.5-turbo

    numbers associated with identifiers or ratings

    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
    holder
    -0.78
    istically
    -0.76
    falls
    -0.73
    think
    -0.72
    furt
    -0.71
    stood
    -0.69
    âĹ¼
    -0.67
    sole
    -0.66
    hang
    -0.65
    eting
    -0.65
    POSITIVE LOGITS
     ILCS
    0.99
     dB
    0.87
    508
    0.82
    é¾
    0.79
    374
    0.78
    803
    0.76
    artment
    0.76
    208
    0.75
    UTERS
    0.72
    804
    0.72
    Activations Density 0.014%

    No Known Activations