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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
    11. 11147
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    Explanations

    adjectives related to vividness

    oai_token-act-pair · gpt-3.5-turbo

    vivid descriptions and references to individuals with criminal records

    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
    ħĭ
    -0.78
    ãħĭãħĭ
    -0.77
    OPLE
    -0.71
    conservancy
    -0.70
    EEE
    -0.70
    perty
    -0.69
    wich
    -0.69
    #$#$
    -0.68
    akings
    -0.66
    ³³³³³³³³³³³³³³³³
    -0.65
    POSITIVE LOGITS
    nesses
    0.89
    usions
    0.82
    actory
    0.82
    ity
    0.80
    ighter
    0.80
    ities
    0.77
    ness
    0.76
    usion
    0.75
     vivid
    0.74
     felon
    0.73
    Activations Density 0.024%

    No Known Activations