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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. 12-RES-JB
    11. 4188
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    Explanations

    personal pronouns followed by verbs indicating action or advice

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "to" and variations of its usage in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     increments
    -0.69
     alternatively
    -0.68
     concurrently
    -0.65
     parallels
    -0.65
     retrospect
    -0.65
     drafts
    -0.64
     hindsight
    -0.63
     attachments
    -0.62
     glances
    -0.62
    atories
    -0.60
    POSITIVE LOGITS
     SAY
    1.08
     Tell
    1.06
     say
    0.97
     tell
    0.96
     Say
    0.88
    Say
    0.87
    ©¶æ¥µ
    0.87
    say
    0.85
    Tell
    0.84
    Know
    0.82
    Activations Density 0.209%

    No Known Activations