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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. 10-RES-JB
    11. 24486
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    Explanations

    information related to financial transactions and activities

    oai_token-act-pair · gpt-3.5-turbo

    temporal or numerical data related to events and occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Firstly
    -0.87
     Whilst
    -0.73
     Firstly
    -0.72
    Advertisements
    -0.61
     CLIENT
    -0.58
     ðŁĻĤ
    -0.57
     Sovere
    -0.57
    "]=>
    -0.55
    ciating
    -0.54
     organis
    -0.54
    POSITIVE LOGITS
     afterward
    1.08
     later
    1.02
     meanwhile
    0.96
     likewise
    0.93
     also
    0.92
     thereafter
    0.91
     similarly
    0.84
     subsequently
    0.82
     additionally
    0.78
     moreover
    0.78
    Activations Density 1.164%

    No Known Activations