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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. 4448
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    INDEX
    Explanations

    words related to visual observation and experience

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

    instances of sight-related actions and experiences

    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
    oÄŁ
    -0.65
    ortment
    -0.63
    yssey
    -0.61
    not
    -0.60
    cius
    -0.58
    unknown
    -0.58
     widest
    -0.58
    cho
    -0.57
     mostly
    -0.57
    sometimes
    -0.56
    POSITIVE LOGITS
     anything
    1.47
     nor
    1.35
     any
    1.29
     anybody
    1.27
     anyone
    1.25
     anymore
    1.22
     ANY
    1.10
    anything
    1.06
    enance
    0.88
     anywhere
    0.87
    Activations Density 0.456%

    No Known Activations