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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. 23619
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    Explanations

    phrases related to someone coming off a particular event or situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating recent experiences or achievements

    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
    inet
    -0.91
    soDeliveryDate
    -0.79
    eyed
    -0.70
    nown
    -0.66
     cared
    -0.66
    swick
    -0.65
    cgi
    -0.65
    soc
    -0.63
    initely
    -0.61
    acebook
    -0.61
    POSITIVE LOGITS
     defeats
    1.06
     setbacks
    1.03
     victories
    1.01
     hiatus
    0.97
     defeat
    0.95
     losses
    0.93
     setback
    0.91
     surgery
    0.88
     stint
    0.84
     bye
    0.83
    Activations Density 0.145%

    No Known Activations