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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. 9-RES-JB
    11. 23997
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    INDEX
    Explanations

    prepositions and determiners followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to measurement and quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ********************************
    -0.85
    .''.
    -0.83
    )).
    -0.79
    ]).
    -0.77
    .�
    -0.77
    anwhile
    -0.77
    )))
    -0.74
    ¶
    -0.74
     --------------------------------
    -0.74
    ;;;;;;;;;;;;
    -0.74
    POSITIVE LOGITS
    ãĤ³
    0.65
     toast
    0.58
     initials
    0.56
     cheek
    0.55
     guessing
    0.55
     boobs
    0.54
     adject
    0.53
     acronym
    0.53
     roast
    0.53
     selfies
    0.53
    Activations Density 1.765%

    No Known Activations