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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. 6-RES-JB
    11. 9254
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    Explanations

    phrases related to diverting attention or blame from a particular subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to removing or alleviating burdens or obstacles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Äĩ
    -0.71
    eds
    -0.67
    zl
    -0.66
    NEWS
    -0.65
     Cosponsors
    -0.65
    iasm
    -0.63
    zzo
    -0.63
    archives
    -0.63
    interstitial
    -0.63
    ANS
    -0.63
    POSITIVE LOGITS
     Hernandez
    0.66
     inhib
    0.65
     Brett
    0.65
     dam
    0.63
     peril
    0.63
     Rouhani
    0.63
    hern
    0.61
     fragmented
    0.60
     tighter
    0.60
     hers
    0.59
    Activations Density 0.241%

    No Known Activations