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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. 7-RES-JB
    11. 7300
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    Explanations

    phrases related to long-term effects

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Compass
    -0.89
     Scrib
    -0.86
     Wiz
    -0.79
    ulhu
    -0.78
     Pok
    -0.76
     GEAR
    -0.76
     Solitaire
    -0.75
     Polo
    -0.74
    ADRA
    -0.71
     Achievements
    -0.71
    POSITIVE LOGITS
    term
    1.40
    distance
    1.21
    lasting
    1.19
    haired
    1.17
    lived
    1.15
    sighted
    1.15
    awaited
    1.14
    enough
    1.13
    serving
    1.10
    range
    1.09
    Activations Density 0.034%

    No Known Activations