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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. 11588
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    Explanations

    phrases that are specifically emphasized within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that start with "more specifically" or variations of it, indicating a focus on detailed clarification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    No Comments

    Negative Logits
    ilion
    -0.70
    ishly
    -0.68
    thal
    -0.63
    ãĥĥãĥī
    -0.63
    assic
    -0.62
    bryce
    -0.62
    company
    -0.61
    minster
    -0.59
    borg
    -0.58
    ÅĤ
    -0.57
    POSITIVE LOGITS
    ogens
    0.69
    ombat
    0.67
     Winc
    0.65
     however
    0.65
     insofar
    0.65
    merce
    0.65
     note
    0.61
     Ports
    0.61
     LET
    0.61
    icts
    0.59
    Activations Density 0.164%

    No Known Activations