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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. 472
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    Explanations

    terms related to a specific sports team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific football club, Fulham

    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
     duel
    -0.71
    ãĤ±
    -0.70
     omega
    -0.70
     aura
    -0.66
     Leilan
    -0.65
     pokemon
    -0.64
    ãĥ¼ãĥ«
    -0.63
     march
    -0.62
     Fortune
    -0.62
    forth
    -0.62
    POSITIVE LOGITS
    adish
    2.11
     Ful
    1.65
    1000
    1.27
     reservoir
    1.26
     Fas
    1.26
     reservoirs
    1.25
     Sid
    1.09
     feasibility
    1.07
    artments
    1.07
     Coul
    0.93
    Activations Density 0.052%

    No Known Activations