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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. 0-RES-JB
    11. 4915
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    Explanations

    superlatives and extremes

    oai_token-act-pair · gpt-3.5-turbo

    superlative adjectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.61
     upside
    -0.60
     flipped
    -0.59
     flip
    -0.59
    çĦ
    -0.57
    0000000000000000
    -0.55
     MOV
    -0.52
     buffs
    -0.52
     layered
    -0.51
     BY
    -0.51
    POSITIVE LOGITS
    est
    4.55
    ests
    2.49
    esting
    2.41
    EST
    2.37
    hest
    2.03
    ested
    1.98
    estation
    1.96
    este
    1.82
    erest
    1.72
    gest
    1.71
    Activations Density 0.013%

    No Known Activations