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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. 228
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    Explanations

    words related to persuasion or motivation, particularly those involving encouraging or enticing others to take action

    oai_token-act-pair · gpt-3.5-turbo

    words related to entering or engaging in an activity

    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
    BILITY
    -0.60
     straightforward
    -0.60
     quicker
    -0.58
     basic
    -0.58
    ãĥ£
    -0.57
     heads
    -0.57
     clean
    -0.57
     nicer
    -0.57
     Accountability
    -0.56
     relatively
    -0.56
    POSITIVE LOGITS
    ourage
    1.26
    rust
    1.21
    hr
    1.16
    rench
    1.16
    ailed
    1.11
    wine
    1.07
    angling
    0.99
    rap
    0.98
    iced
    0.97
    omb
    0.97
    Activations Density 0.032%

    No Known Activations