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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. 10-RES-JB
    11. 5996
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    Explanations

    information related to specific events or incidents, such as revelations, sobriety durations, deaths, and robberies

    oai_token-act-pair · gpt-3.5-turbo

    sequences of events and temporal phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     organizational
    -0.93
    /.
    -0.90
     Organizations
    -0.90
    §
    -0.83
    ¶
    -0.83
    Transaction
    -0.82
    .--
    -0.81
    —"
    -0.79
    .–
    -0.76
     stabilization
    -0.76
    POSITIVE LOGITS
     pictured
    1.34
     Pict
    1.19
    Scroll
    1.16
     ITV
    1.15
     Nasa
    1.14
     £
    1.11
     colourful
    1.10
     CCTV
    1.08
    pictured
    1.07
     organisers
    1.02
    Activations Density 0.869%

    No Known Activations