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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16654
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    INDEX
    Explanations

    mentions of people making decisions or taking actions

    oai_token-act-pair · gpt-3.5-turbo

    references to charitable giving and donations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    successful
    -0.69
    >"
    -0.68
     Vide
    -0.67
     Pigs
    -0.66
    vic
    -0.65
    ocre
    -0.64
    orius
    -0.64
    Vs
    -0.60
    elist
    -0.60
    ensual
    -0.59
    POSITIVE LOGITS
     wondering
    1.19
     anx
    1.09
     wonder
    1.05
     anew
    1.01
     wondered
    1.00
     understandably
    0.99
     hopeful
    0.88
     urgently
    0.87
     optimism
    0.87
     revis
    0.86
    Activations Density 0.623%

    No Known Activations