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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. 2306
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    Explanations

    phrases related to unexpected outcomes and consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate attempts or actions that lead to results or outcomes

    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
    mining
    -0.78
    ahead
    -0.75
     Donation
    -0.75
    matter
    -0.74
    holder
    -0.67
    processing
    -0.66
    kernel
    -0.65
    medium
    -0.65
    umption
    -0.65
    protection
    -0.65
    POSITIVE LOGITS
     discover
    1.21
     realise
    1.19
     realize
    1.16
     reapp
    1.03
     succumb
    1.01
     find
    0.98
     subsequently
    0.95
     awaken
    0.94
     stumble
    0.92
     later
    0.91
    Activations Density 0.039%

    No Known Activations