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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
    11. 3966
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    Explanations

    verbs related to causing a change or making something ineffective

    oai_token-act-pair · gpt-3.5-turbo

    the verb "render" and its variations, often in contexts implying transformation or making something ineffective

    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
    !/
    -0.75
    dayName
    -0.73
     Cly
    -0.73
    RH
    -0.71
    alg
    -0.70
     Compton
    -0.65
     Panama
    -0.64
    CU
    -0.62
     Greenberg
    -0.62
    aterasu
    -0.61
    POSITIVE LOGITS
    ezvous
    1.08
     renders
    0.87
     rendered
    0.84
     render
    0.83
    phas
    0.77
    cipled
    0.75
    lete
    0.75
     moot
    0.75
    rendered
    0.74
     obsolete
    0.73
    Activations Density 0.034%

    No Known Activations