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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. 3-RES-JB
    11. 17516
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    Explanations

    words related to multiple or many instances of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and assessment scales

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

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    Negative Logits
    FORE
    -0.87
    cko
    -0.86
    ãģ®éŃĶ
    -0.85
    ansas
    -0.80
    Reward
    -0.74
    Downloadha
    -0.74
    ERAL
    -0.74
    BIP
    -0.73
    busters
    -0.72
     Gors
    -0.72
    POSITIVE LOGITS
     multit
    1.14
    asking
    0.93
    aging
    0.83
    ension
    0.82
    ocular
    0.77
    ensions
    0.77
    agic
    0.76
    ribut
    0.73
    inct
    0.72
    ming
    0.70
    Activations Density 0.013%

    No Known Activations