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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. 6-RES-JB
    11. 12166
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    Explanations

    references to a specific character or concept named "Majin"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific character or entity named "Maj"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rift
    -0.67
     Stanford
    -0.67
     Riot
    -0.65
     drive
    -0.63
    izational
    -0.63
     Roosevelt
    -0.63
    Pope
    -0.61
    neau
    -0.61
    Interstitial
    -0.61
     Takeru
    -0.61
    POSITIVE LOGITS
    estic
    1.06
    ouri
    0.90
    alis
    0.85
    enance
    0.83
    arro
    0.83
    eor
    0.80
    ril
    0.80
    insk
    0.80
    ĸļ
    0.79
    noon
    0.78
    Activations Density 0.032%

    No Known Activations