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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. 11-RES-JB
    11. 21626
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    Explanations

    specific names or terms related to individuals or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific name, likely a person's name, in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     indignation
    -0.65
    ocity
    -0.63
    ISTER
    -0.62
     delight
    -0.61
    ured
    -0.61
     merit
    -0.61
    ists
    -0.60
     voic
    -0.59
    htaking
    -0.59
    Magikarp
    -0.59
    POSITIVE LOGITS
    orah
    1.32
    bie
    1.13
    ilitating
    1.12
    acle
    1.04
    unk
    0.96
    utable
    0.92
    tor
    0.86
    ra
    0.82
    uting
    0.81
     Wasserman
    0.80
    Activations Density 0.040%

    No Known Activations