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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. 8-RES-JB
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    Explanations

    occurrences of the word "talk" at a high activation level

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "talk" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emale
    -0.74
    arte
    -0.68
    boa
    -0.65
    iverpool
    -0.64
    orius
    -0.63
    hews
    -0.62
    uilt
    -0.62
    ritional
    -0.60
    rypt
    -0.60
     [|
    -0.59
    POSITIVE LOGITS
     about
    1.00
    about
    0.83
     aloud
    0.83
     smack
    0.83
     ABOUT
    0.82
     frankly
    0.81
     louder
    0.79
     loudly
    0.78
    ebus
    0.77
    ative
    0.75
    Activations Density 0.056%

    No Known Activations