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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. 3-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    »Ĵ
    -0.85
    ĪĴ
    -0.83
    alm
    -0.80
    oult
    -0.79
    gger
    -0.76
    prime
    -0.70
    venge
    -0.69
    oint
    -0.68
    ortunate
    -0.67
    estern
    -0.67
    POSITIVE LOGITS
     WATCHED
    1.01
    ...]
    0.81
     aloud
    0.80
     Expand
    0.79
     comprehension
    0.76
     Kafka
    0.70
    acters
    0.70
    ahead
    0.67
     Below
    0.67
     suspic
    0.67
    Activations Density 0.022%

    No Known Activations