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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. 1-RES-JB
    11. 20626
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    Explanations

    the word "firm" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various firms or companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.66
    RT
    -0.66
    ques
    -0.65
    netflix
    -0.65
     Maw
    -0.64
     Blossom
    -0.63
    frey
    -0.62
     Pu
    -0.62
     Detention
    -0.62
     Nicol
    -0.62
    POSITIVE LOGITS
     firm
    1.12
     handshake
    0.89
     firms
    0.88
    ament
    0.84
     footing
    0.83
     Firm
    0.80
     glim
    0.79
    orpor
    0.75
    orporated
    0.74
     foundation
    0.74
    Activations Density 0.011%

    No Known Activations