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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. 4-RES-JB
    11. 11146
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    Explanations

    keywords related to financial actions or political strategies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to types of rights or legal claims

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

    No Comments

    Negative Logits
    arios
    -0.66
    kj
    -0.60
    lov
    -0.60
     Atmosp
    -0.60
    acan
    -0.57
    pher
    -0.57
     Café
    -0.57
     Emin
    -0.57
     Grill
    -0.56
     misunderstand
    -0.55
    POSITIVE LOGITS
    owship
    0.66
    ppe
    0.65
     allegiance
    0.62
    ucky
    0.62
     pact
    0.60
    existent
    0.58
     resettlement
    0.58
     pledge
    0.58
     guarantee
    0.56
    aternal
    0.56
    Activations Density 0.228%

    No Known Activations