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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. 1-RES-JB
    11. 16009
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    Explanations

    various instances of encountering people or things

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "encountered" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ember
    -0.79
    recy
    -0.78
    aration
    -0.78
    hub
    -0.78
    wrap
    -0.78
    roxy
    -0.77
    vacc
    -0.76
    rug
    -0.75
    aver
    -0.75
    ocr
    -0.73
    POSITIVE LOGITS
     encountered
    1.12
     encounters
    1.00
     encount
    0.99
     encountering
    0.93
    ãĤ¼
    0.89
     Encounter
    0.83
    ttes
    0.83
     difficulties
    0.79
    ãĥķ
    0.77
    lehem
    0.77
    Activations Density 0.008%

    No Known Activations