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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. 9-RES-JB
    11. 17511
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    Explanations

    numeric values related to prices or quantities

    oai_token-act-pair · gpt-3.5-turbo

    financial terms and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Firstly
    -0.59
    Fact
    -0.59
     SHARES
    -0.58
    plex
    -0.58
    verse
    -0.57
    mone
    -0.55
     Soccer
    -0.55
     Kills
    -0.55
    icans
    -0.55
     premise
    -0.54
    POSITIVE LOGITS
     9
    0.86
     39
    0.84
     7
    0.84
    =~
    0.84
     28
    0.83
     29
    0.83
     37
    0.83
     27
    0.82
     35
    0.82
     36
    0.81
    Activations Density 0.314%

    No Known Activations