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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. 11273
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    Explanations

    phrases related to sending or receiving emails, particularly from a specific source or containing certain information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sources and authority

    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
    po
    -0.76
    ItemTracker
    -0.67
    etsk
    -0.65
    lo
    -0.65
    code
    -0.64
    birth
    -0.64
    chair
    -0.63
    bas
    -0.63
    ograp
    -0.62
    pedia
    -0.62
    POSITIVE LOGITS
     respectively
    1.68
     alike
    1.53
     whichever
    0.96
    depending
    0.92
     respective
    0.84
     interchange
    0.70
     eras
    0.67
    GBT
    0.67
     both
    0.65
     varied
    0.65
    Activations Density 0.736%

    No Known Activations