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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. 7233
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    Explanations

    mentions of specific symbols like 'âĢĶ'

    oai_token-act-pair · gpt-3.5-turbo
    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
    pex
    -0.61
    ividual
    -0.59
     advoc
    -0.57
     livest
    -0.57
    abee
    -0.57
    elfth
    -0.57
    ene
    -0.56
    onite
    -0.55
    schild
    -0.53
    venth
    -0.53
    POSITIVE LOGITS
    ————
    0.65
    please
    0.64
    feat
    0.61
     partName
    0.59
    UTERS
    0.59
     âĺħ
    0.57
     âĨij
    0.56
     Xperia
    0.56
     Naruto
    0.56
    ¶
    0.56
    Activations Density 0.191%

    No Known Activations