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    1. Home
    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. 10005
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    INDEX
    Explanations

    words related to changes, especially sudden or significant shifts

    oai_token-act-pair · gpt-3.5-turbo

    adverbs and expressions indicating frequency or occurrence

    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
     Digest
    -0.59
    GROUND
    -0.58
     alive
    -0.56
    Subject
    -0.54
     weap
    -0.54
    avier
    -0.53
    zing
    -0.53
    Reviewer
    -0.53
    SG
    -0.53
    etting
    -0.52
    POSITIVE LOGITS
    been
    1.75
     been
    1.64
     gotten
    1.41
     undergone
    1.35
     begun
    1.27
     Been
    1.26
     fallen
    1.25
     gone
    1.19
     become
    1.16
     risen
    1.15
    Activations Density 0.218%

    No Known Activations