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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. 16760
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    Explanations

    words related to the process of breeding or reproduction

    oai_token-act-pair · gpt-3.5-turbo

    words related to processed or ongoing actions

    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
     Zoro
    -0.63
     pleasure
    -0.62
     Pric
    -0.59
     srfAttach
    -0.58
     âĺħ
    -0.58
     cyl
    -0.57
     approx
    -0.57
     cat
    -0.57
     Scand
    -0.57
     luc
    -0.56
    POSITIVE LOGITS
    eding
    4.53
    eded
    2.92
    ede
    2.06
    eds
    1.82
    edes
    1.59
    eder
    1.57
    edy
    1.17
    ession
    1.17
    akening
    1.16
    eping
    1.09
    Activations Density 0.010%

    No Known Activations