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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. 17788
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    Explanations

    text related to mounting or applying something onto objects or subjects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to mounting and applying items or substances in various contexts

    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
    SIGN
    -0.74
    SHARE
    -0.67
    ;;;;;;;;;;;;
    -0.67
    OVER
    -0.66
    ORTS
    -0.66
    JP
    -0.65
    YP
    -0.63
    VB
    -0.63
    spons
    -0.62
    VID
    -0.61
    POSITIVE LOGITS
     unsuspecting
    1.04
     behalf
    0.97
     surfaces
    0.86
     concrete
    0.85
     target
    0.85
     unwitting
    0.84
     electrodes
    0.83
     tissue
    0.83
     tissues
    0.82
     existing
    0.82
    Activations Density 0.318%

    No Known Activations