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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
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    Explanations

    names related to locations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "osh"

    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
     criminals
    -0.71
     Humans
    -0.67
     Hosp
    -0.66
     pigeon
    -0.63
    sections
    -0.62
     targeted
    -0.60
     Agents
    -0.59
     scrambled
    -0.58
     delinqu
    -0.58
     prosecuted
    -0.58
    POSITIVE LOGITS
    osh
    1.18
    nikov
    1.17
    ima
    1.01
    adow
    1.00
    awk
    0.97
    OSH
    0.94
    tml
    0.93
    inka
    0.93
    merga
    0.92
    oe
    0.90
    Activations Density 0.010%

    No Known Activations