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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. 9-RES-JB
    11. 18050
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    Explanations

    actions followed by a sequence of events

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "then" in a sequence of actions or descriptions

    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
    than
    -0.82
    aez
    -0.79
    chio
    -0.74
    orde
    -0.71
    hab
    -0.70
    WARN
    -0.65
    ussions
    -0.64
     Presence
    -0.64
    venture
    -0.63
    ECA
    -0.62
    POSITIVE LOGITS
     proceeded
    1.25
     promptly
    1.00
     proceed
    0.96
     secondly
    0.94
     vanish
    0.86
     disappear
    0.84
     succumb
    0.84
     abruptly
    0.83
     proceeds
    0.81
     disappears
    0.81
    Activations Density 0.064%

    No Known Activations