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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. 11-RES-JB
    11. 3860
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    Explanations

    phrases that describe a sequence of actions or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "then" indicating a sequence or progression of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    than
    -0.77
    hab
    -0.71
    chen
    -0.70
    ocene
    -0.69
    MpServer
    -0.69
    chio
    -0.69
    aez
    -0.68
    natureconservancy
    -0.67
    onomic
    -0.66
    orum
    -0.65
    POSITIVE LOGITS
     proceeded
    1.18
     proceed
    1.05
     promptly
    0.99
     proceeds
    0.89
     abruptly
    0.85
     disappear
    0.84
     secondly
    0.81
     vanish
    0.80
     succumb
    0.79
     later
    0.78
    Activations Density 0.076%

    No Known Activations