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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. 1876
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    INDEX
    Explanations

    locations and modes of transportation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to travel or movement towards a destination

    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
    alam
    -0.68
     Plex
    -0.66
    vae
    -0.66
    tle
    -0.63
    cised
    -0.61
    agus
    -0.60
    um
    -0.59
    ickson
    -0.58
    olver
    -0.58
    erved
    -0.58
    POSITIVE LOGITS
     home
    0.89
    seeing
    0.79
     toward
    0.75
    ward
    0.74
     HOME
    0.72
    home
    0.71
     Home
    0.70
    finding
    0.69
     to
    0.69
     towards
    0.67
    Activations Density 0.052%

    No Known Activations