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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14553
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    Explanations

    phrases related to incidents where individuals are taken to hospitals or medical centers

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the transfer of individuals to hospitals following incidents

    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
    sylv
    -0.80
     intermitt
    -0.72
     striving
    -0.71
     desires
    -0.65
     enlarg
    -0.64
     minded
    -0.64
     laz
    -0.64
     nostalg
    -0.63
     thirst
    -0.63
     eman
    -0.63
    POSITIVE LOGITS
     hospital
    1.18
    ospital
    1.02
     Hospital
    0.89
     Bellev
    0.89
     jail
    0.87
     prison
    0.83
    hospital
    0.82
    apego
    0.82
     Advocate
    0.81
     Westminster
    0.80
    Activations Density 0.093%

    No Known Activations