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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. 6-RES-JB
    11. 7305
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    Explanations

    words related to omnidirectional experiences or equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "omni" or "omniscience."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mata
    -0.75
     Values
    -0.73
     Reset
    -0.70
     Formation
    -0.70
    URN
    -0.66
     Syndicate
    -0.65
    bie
    -0.65
    values
    -0.65
    lands
    -0.65
    stals
    -0.63
    POSITIVE LOGITS
    ibus
    0.97
    atorial
    0.89
    abetic
    0.83
    wered
    0.82
     omn
    0.81
    umbn
    0.81
    ĸļ
    0.78
    ihil
    0.78
    alist
    0.77
    enary
    0.76
    Activations Density 0.048%

    No Known Activations