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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. 2667
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    Explanations

    phrases related to instructions or directions

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

    instances of the phrase "to" followed by verbs or actions associated with intentions or goals

    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
     Cosponsors
    -0.90
    ahime
    -0.85
    č
    -0.79
    InstoreAndOnline
    -0.79
    Ă
    -0.79
    ý
    -0.79
    Ą
    -0.79
    Ė
    -0.79
    ø
    -0.79
    À
    -0.79
    POSITIVE LOGITS
     succeed
    1.32
     survive
    1.23
     qualify
    1.17
     achieve
    1.16
     prevail
    1.10
     properly
    1.08
     successfully
    1.06
     ensure
    1.06
     sustain
    1.05
     thrive
    1.05
    Activations Density 0.323%

    No Known Activations