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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
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    Explanations

    mentions of "intern" or "internship" within text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of internships and related terms

    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
     Caucasus
    -0.64
     palms
    -0.64
    gging
    -0.64
     bluff
    -0.64
     signalling
    -0.62
    arma
    -0.62
    gger
    -0.61
    اÙĦ
    -0.60
    ModLoader
    -0.60
     ACTION
    -0.59
    POSITIVE LOGITS
    ships
    1.52
    ationally
    1.07
    ship
    1.00
    rador
    0.96
    ials
    0.92
    atural
    0.89
     interns
    0.87
    ational
    0.86
    agan
    0.85
    stadt
    0.85
    Activations Density 0.026%

    No Known Activations