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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. 11447
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    Explanations

    phrases related to benefiting or gaining advantages

    oai_token-act-pair · gpt-3.5-turbo

    words related to gaining advantages or positive outcomes

    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
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    No Comments

    Negative Logits
     caul
    -0.68
     residues
    -0.58
    çĦ
    -0.58
     swirling
    -0.57
     towel
    -0.57
    slice
    -0.57
    body
    -0.56
    mess
    -0.56
     Hole
    -0.56
    iso
    -0.55
    POSITIVE LOGITS
     greatly
    0.86
     financially
    0.85
     enormously
    0.81
    igan
    0.79
    iciary
    0.79
    Marginal
    0.77
    ischer
    0.77
    onies
    0.76
     immensely
    0.75
    doms
    0.75
    Activations Density 0.041%

    No Known Activations