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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. 0-RES-JB
    11. 6193
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    Explanations

    information related to investigations or investigators

    oai_token-act-pair · gpt-3.5-turbo

    mentions of investigators or investigation-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swing
    -0.65
    fork
    -0.63
    ready
    -0.61
    XL
    -0.61
    hetto
    -0.60
     Availability
    -0.59
    eworld
    -0.59
     Tent
    -0.59
    upt
    -0.58
    reciation
    -0.58
    POSITIVE LOGITS
     investigators
    3.72
     Investigators
    2.97
     investigator
    2.79
    Investigators
    2.55
     detectives
    2.40
     Investigator
    2.14
     prosecutors
    2.02
     researchers
    1.91
     investigations
    1.77
     inspectors
    1.77
    Activations Density 0.026%

    No Known Activations