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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
    11. 9881
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    Explanations

    phrases related to actions or situations causing negative consequences or criticisms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "because."

    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
    lock
    -0.71
    ymph
    -0.70
    alin
    -0.68
    yan
    -0.67
    ries
    -0.66
    mint
    -0.66
    wn
    -0.65
    hani
    -0.65
    lez
    -0.65
    age
    -0.63
    POSITIVE LOGITS
     they
    0.98
     nobody
    0.82
     THEY
    0.80
     someone
    0.78
     somebody
    0.75
     there
    0.73
     otherwise
    0.70
    */(
    0.70
     it
    0.68
     he
    0.68
    Activations Density 0.079%

    No Known Activations