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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. 15308
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    Explanations

    specific mentions of "Seminary" or similar terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Sem" and its variations, likely indicating references to seminars or similar events

    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
    Adds
    -0.67
     mole
    -0.67
     Strauss
    -0.64
    çĶŁ
    -0.63
    ãģ¦
    -0.63
     laugh
    -0.61
     ramps
    -0.60
     bowling
    -0.60
     Alonso
    -0.60
     withholding
    -0.59
    POSITIVE LOGITS
    antics
    1.41
    inary
    1.29
    blance
    1.22
    iotics
    1.20
    antic
    1.16
    antically
    1.14
    inar
    1.13
    mers
    1.10
    icol
    1.08
    iph
    1.05
    Activations Density 0.023%

    No Known Activations