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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. 7-RES-JB
    11. 21700
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    Explanations

    references to specific numerical values

    oai_token-act-pair · gpt-3.5-turbo

    comma-separated lists or sequences of numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ophen
    -0.69
    ounded
    -0.66
    '/
    -0.66
    ochond
    -0.62
    ahu
    -0.58
    ']
    -0.58
    soever
    -0.56
    :(
    -0.56
     FREE
    -0.56
    istrate
    -0.56
    POSITIVE LOGITS
    000
    1.49
    800
    0.98
    500
    0.98
    700
    0.94
    400
    0.92
    600
    0.91
    040
    0.86
    075
    0.85
    300
    0.85
    045
    0.84
    Activations Density 0.232%

    No Known Activations